AMD MAPLE
Geekbench ML Score
14860
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 05:42 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD MAPLE |
| Motherboard | AMD MAPLE-STXH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8573
1.60 KIPS |
|
|
Image Classification (F16)
|
100% |
8485
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
7308
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12567
209.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12800
213.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11557
193.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
69233
83.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62830
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
62547
75.7 IPS |
|
|
Object Detection (F32)
|
100% |
3602
268.9 IPS |
|
|
Object Detection (F16)
|
100% |
3496
261.0 IPS |
|
|
Object Detection (I8)
|
62% |
3545
264.7 IPS |
|
|
Face Detection (F32)
|
100% |
21813
259.4 IPS |
|
|
Face Detection (F16)
|
100% |
19433
231.1 IPS |
|
|
Face Detection (I8)
|
89% |
15710
186.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
27865
216.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
28849
223.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
25398
197.0 IPS |
|
|
Style Transfer (F32)
|
100% |
127183
167.3 IPS |
|
|
Style Transfer (F16)
|
100% |
128561
169.1 IPS |
|
|
Style Transfer (I8)
|
98% |
113437
149.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27228
972.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23516
839.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18713
668.3 IPS |
|
|
Text Classification (F32)
|
100% |
3514
5.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3708
5.33 KIPS |
|
|
Text Classification (I8)
|
98% |
2661
3.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
5849
107.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5784
106.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3405
62.7 IPS |
